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algorithm python » algorithms within (Expand Search)
within function » fibrin function (Expand Search), python function (Expand Search), protein function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
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1381
Supplementary file 1_CYLD as a key regulator of myocardial infarction-to-heart failure transition revealed by multi-omics integration.docx
Published 2025“…Our multistep analytical pipeline included weighted gene coexpression network analysis (WGCNA) to map interacting genes, machine learning algorithms for robust classification, functional annotation via Kyoto Encyclopedia of Genes and Genomes (KEGG) to explore biological pathways, CIBERSORT correlation analysis linking hub genes with immune cell states, transcriptional regulation profiling of key hubs, and single-cell sequencing to assess the functional relevance of these hubs.…”
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1382
Data Sheet 1_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
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1383
Data Sheet 5_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.csv
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
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1384
Supplementary file 1_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.docx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
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1385
Data Sheet 2_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
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1386
Data Sheet 3_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
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1387
Data Sheet 4_Multi-omics exploration of chaperone-mediated immune-proteostasis crosstalk in vascular dementia and identification of diagnostic biomarkers.xlsx
Published 2025“…Biomarker validation was performed through cross-validation using LASSO, SVM-RFE, and Random Forest algorithms. Immune microenvironment analysis was conducted using CIBERSORT, while single-cell transcriptomics was analyzed within the Seurat framework.…”
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1388
Consensus group.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1389
GSVA pathway.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1390
Hallmark significant GSVA results.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1391
RBP table.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1392
Enrichment analysis of GO.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1393
Differential gene expression analysis results.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1394
The flowchart of this study.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1395
DGIdb.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1396
Glucocorticoid related genes.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1397
CIBERSORTx results.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1398
Differential gene expression analysis results.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1399
GSEA result.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”
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1400
Enrichment analysis of GO.
Published 2025“…We also identified differentially expressed genes (DEGs) within the clusters and between SLE patients and healthy controls. …”